Senior Machine Learning Engineer

📋 Description

• Design and implement high-performance C++ software that runs computer vision and tracking algorithms in real time on edge devices.
• Work with computer vision / self-supervised learning engineers to integrate models into production pipelines, including pre/post-processing, I/O, and system orchestration.
• Build and optimize multithreaded and parallel processing pipelines for ingesting, synchronizing, and processing data from a networked system of cameras.
• Implement and tune CUDA kernels and GPU-accelerated components to maximize throughput and minimize latency for inference, tracking, and search.
• Design robust data structures and memory management strategies for handling large volumes of video, sensor, and metadata streams under tight compute and power constraints.
• Profile and optimize code using perf, valgrind, nvprof / Nsight, and similar to identify bottlenecks and improve CPU/GPU utilization.

🎯 Requirements

• 5+ years of professional experience in modern C++ (C++14/17 or later) with strong OO and generic programming.
• Deep understanding of multithreading and concurrency and experience building robust, concurrent systems.
• Hands-on experience with CUDA and GPU programming, including kernel development and memory optimization.
• Linux-based development (CMake, unit testing frameworks, containerization and/or cross-compilation for edge devices).
• Experience with ML/vision inference engines (TensorRT, OpenVINO, ONNX Runtime) is a strong plus.
• Strong debugging and profiling skills across CPU and GPU, including benchmarking and regression testing.

🎁 Benefits

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Learning & Development programs